Advanced prognostic modeling with deep learning: assessing long-term outcomes in liver transplant recipients from deceased and living donors

The utility of the Deeplearning4j model in survival prediction after liver transplantation has been validated in this study. Based on the findings, deceased donor transplantation could be promoted over living donor transplantation.

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Publication Details

Journal
Journal of Translational Medicine
Published
2025-02-16
DOI
https://doi.org/10.1186/s12967-025-06183-1
Citations
6
Primary Topic
Organ Transplantation Techniques and Outcomes
Type
article
Field-Weighted Citation Impact
12.04
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article

Advanced prognostic modeling with deep learning: assessing long-term outcomes in liver transplant recipients from deceased and living donors

C. G. Raji, Yamuna R. Pillai, Noble Gracious, S. S. Vinod Chandra et al.
6 citations
Journal of Translational Medicine
Organ Transplantation Techniques and Outcomes
12.04
article

Advanced prognostic modeling with deep learning: assessing long-term outcomes in liver transplant recipients from deceased and living donors

C. G. Raji, Yamuna R. Pillai, Noble Gracious, S. S. Vinod Chandra, Abhishek Sasidharan
article en
6 citations

Abstract

The utility of the Deeplearning4j model in survival prediction after liver transplantation has been validated in this study. Based on the findings, deceased donor transplantation could be promoted over living donor transplantation.

Journal of Translational MedicineVol. 23(1)
Government Medical College (IN), University of Kerala (IN), Government of Kerala (IN), T. D. Medical College (IN), Government Medical College and Hospital (IN), Sacred Heart College (IN)
Openalex Percentile: Top 1%
Organ Transplantation Techniques and Outcomes
12.04
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